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lavori da Computer Science in località Regno Unito

AI Research Engineer (Pre-training)

AI Research Engineer (Pre-training)
Tether Operations Limited
Londra
Remoto
GBP 70.000 - 100.000
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AI Research Engineer (Pre-training)

Tether Operations Limited
Londra
Remoto
GBP 70.000 - 100.000
Descrizione del lavoro

Join Tether and Shape the Future of Digital Finance


At Tether, we're pioneering a global financial revolution with innovative solutions that empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. Our blockchain technology enables instant, secure, and global digital token transactions at a fraction of the cost, built on transparency and trust.


Innovate with Tether


Tether Finance: Our product suite includes the trusted stablecoin USDT, used worldwide, and pioneering digital asset tokenization services.


But that's just the beginning:


Tether Power: We drive sustainable growth by optimizing excess energy for eco-friendly Bitcoin mining in geo-diverse facilities.


Tether Data: We advance AI and peer-to-peer tech with solutions like KEET, our app for secure, private data sharing.


Tether Education: We democratize digital learning, empowering individuals in the gig economy and driving global growth.


Tether Evolution: We push technological boundaries to merge innovation with human potential, shaping a future of unprecedented possibilities.


Why Join Us?


Our global, remote team is passionate about fintech innovation. If you excel in English communication and want to contribute to a pioneering platform, Tether offers an environment to collaborate with top talent, push boundaries, and set new industry standards.


About the job:


As part of the AI model team, you'll innovate in architecture development for models of various scales, including small, large, and multi-modal systems. Your work will enhance AI capabilities, efficiency, and performance.


You should have deep expertise in LLM architectures, pre-training optimization, and a research-driven approach. Your goal is to explore and implement novel techniques, improve data curation, strengthen baselines, and resolve pre-training bottlenecks to advance AI performance.


Responsibilities:

  • Conduct pre-training of AI models on large, distributed servers with thousands of NVIDIA GPUs.
  • Design, prototype, and scale innovative architectures to improve model intelligence.
  • Execute experiments, analyze results, and refine methodologies collaboratively.
  • Debug and enhance model efficiency and computational performance.
  • Advance training systems for seamless scalability and efficiency on target platforms.

Qualifications:

  • Degree in Computer Science or related field; PhD in NLP, Machine Learning, or related fields preferred, with a strong record in AI R&D and publications in top conferences.
  • Hands-on experience with large-scale LLM training on distributed NVIDIA GPU servers, ensuring scalability and impactful performance improvements.
  • Practical knowledge of large-scale, distributed training frameworks and tools.
  • Deep understanding of transformer and non-transformer modifications to enhance intelligence, efficiency, and scalability.
  • Expertise in PyTorch and Hugging Face libraries, with practical experience in model development, pretraining, and deployment.
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* Il benchmark retributivo si basa sugli obiettivi retributivi dei leader del mercato nei rispettivi settori. È pensato per orientare gli utenti Premium nella valutazione delle posizioni aperte e aiutarli a negoziare la propria retribuzione. Tale benchmark non è fornito direttamente dall'azienda, quindi la retribuzione effettiva potrà risultare anche notevolmente superiore o inferiore.

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